1
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Gangqiang G, Hua C, Hongyu S. Risk predictors of glycaemic control in children and adolescents with type 1 diabetes: A systematic review and meta-analysis. J Clin Nurs 2024; 33:2412-2426. [PMID: 38661073 DOI: 10.1111/jocn.17110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Revised: 02/09/2024] [Accepted: 03/01/2024] [Indexed: 04/26/2024]
Abstract
OBJECTIVES To conduct systematic evaluation of the risk predictors of glycaemic control in children and adolescents with type 1 diabetes mellitus. METHODS Cohort studies on risk predictors of glycaemic control in children and adolescents with type 1 diabetes were retrieved from CNKI, PubMed, Web of Science, Embase databases, etc. from the construction of the repository to 3 February 2023. Literature screening was conducted according to inclusion and exclusion criteria, then data extraction of region, sample size, age, follow-up time, risk predictors, outcome indicators, etc., and quality evaluation of The Newcastle-Ottawa Scale were conducted by two researchers while the third researcher makes decisions if there are disagreements. Finally, Revman5.4 and StataMP17 were used for meta-analysis. RESULTS A total of 29 studies were included, and the results showed that insulin pump [Weighed mean difference (WMD) = -.48, 95% CI (-.73, -.24), p < .01], high-frequency sensor monitoring, early use of insulin pumps, prospective follow-up male, white race, large body mass index-standardised scoring, conscientiousness, agreeableness of mothers, eicosapentaenoic acid, leucine and protein (p < .05) were beneficial for reducing HbA1c levels in children and adolescents with diabetes. Ketoacidosis [WMD = .39, 95% CI (.28, .50), p < .01], selective admission, higher HbA1c level at one time (p < .01), higher glutamate decarboxylase antibody at 1 month after diagnosis, lower socio-economic status, non-living with biological parents, non-two-parent family, family disorder, family history of diabetes and high carbohydrate intake (p < .05) increased HbA1c levels in children and adolescents with diabetes. CONCLUSION For children and adolescents with type 1 diabetes mellitus, the use of insulin pump, high-frequency sensor monitoring, prospective follow-up, good family support and reasonable diet are conducive to blood glucose control, while selective admission and DKA are not. Disease characteristics and demographic characteristics of children are closely related to subsequent blood glucose control, and the relationship between diagnosis age and blood glucose control needs to be further explored.
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Affiliation(s)
- Gao Gangqiang
- School of Nursing, Peking University, Beijing, China
| | - Chen Hua
- School of Nursing, Peking University, Beijing, China
| | - Sun Hongyu
- School of Nursing, Peking University, Beijing, China
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2
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de Vries SAG, Verheugt CL, Mul D, Nieuwdorp M, Sas TCJ. Do sex differences in paediatric type 1 diabetes care exist? A systematic review. Diabetologia 2023; 66:618-630. [PMID: 36700969 PMCID: PMC9947056 DOI: 10.1007/s00125-022-05866-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Accepted: 11/25/2022] [Indexed: 01/27/2023]
Abstract
AIMS/HYPOTHESIS Sex differences are present in cardiovascular care and in outcomes among adults with type 1 diabetes mellitus, which typically commences in childhood. Whether sex influences care and outcomes in childhood is not known. This systematic review provides an overview of sex differences in children with type 1 diabetes, focusing on patient and disease characteristics, treatment, comorbidities and complications. METHODS Literature in MEDLINE up to 15 June 2021 was searched, using the terms diabetes mellitus, sex characteristics, sex distribution, children and/or adolescents. All primary outcome studies on children with type 1 diabetes that mentioned a sex difference in outcome were included, with the exception of qualitative studies, case reports or case series. Studies not pertaining to the regular clinical care process and on incidence or prevalence only were excluded. Articles reporting sex differences were identified and assessed on quality and risk of bias using Joanna Briggs Institute critical appraisal tools. Narrative synthesis and an adapted Harvest plot were used to summarise evidence by category. RESULTS A total of 8640 articles were identified, rendering 90 studies for review (n=643,217 individuals). Studies were of observational design and comprised cohort, cross-sectional and case-control studies. Most of the included studies showed a higher HbA1c in young female children both at diagnosis (seven studies, n=22,089) and during treatment (20 out of 21 studies, n=144,613), as well as a steeper HbA1c increase over time. Many studies observed a higher BMI (all ages, ten studies, n=89,700; adolescence, seven studies, n=33,153), a higher prevalence of being overweight or obese, and a higher prevalence of dyslipidaemia among the female sex. Hypoglycaemia and partial remission occurred more often in male participants, and ketoacidosis (at diagnosis, eight studies, n=3561) and hospitalisation was more often seen in female participants. Most of the findings showed that female participants used pump therapy more frequently (six studies, n=211,324) and needed higher insulin doses than male participants. Several comorbidities, such as thyroid disease and coeliac disease, appeared to be more common in female participants. All studies reported lower quality of life in female participants (15 studies, n=8722). Because the aim of this study was to identify sex differences, studies with neutral outcomes or minor differences may have been under-targeted. The observational designs of the included studies also limit conclusions on the causality between sex and clinical outcomes. CONCLUSIONS/INTERPRETATION Sex disparities were observed throughout diabetes care in children with type 1 diabetes. Several outcomes appear worse in young female children, especially during adolescence. Focus on the cause and treatment of these differences may provide opportunities for better outcomes. REGISTRATION This systematic review is registered in PROSPERO (CRD42020213640).
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Affiliation(s)
- Silvia A G de Vries
- Department of Vascular Medicine, Amsterdam University Medical Centers, Amsterdam, the Netherlands.
| | - Carianne L Verheugt
- Department of Vascular Medicine, Amsterdam University Medical Centers, Amsterdam, the Netherlands
| | - Dick Mul
- Diabeter, Center for Paediatric and Adult Diabetes Care and Research, Rotterdam, the Netherlands
| | - Max Nieuwdorp
- Department of Vascular Medicine, Amsterdam University Medical Centers, Amsterdam, the Netherlands
| | - Theo C J Sas
- Diabeter, Center for Paediatric and Adult Diabetes Care and Research, Rotterdam, the Netherlands
- Department of Paediatrics, Division of Paediatric Endocrinology, Erasmus University Medical Center, Sophia Children's Hospital, Rotterdam, the Netherlands
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3
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Boggiss AL, Consedine NS, Hopkins S, Silvester C, Jefferies C, Hofman P, Serlachius AS. A Self-Compassion Chatbot to Improve the Wellbeing of Adolescents with Type 1 Diabetes During the COVID-19 Pandemic: What do Adolescents and their Healthcare Professionals Want? JMIR Diabetes 2023; 8:e40641. [PMID: 36939680 PMCID: PMC10166132 DOI: 10.2196/40641] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 11/08/2022] [Accepted: 01/30/2023] [Indexed: 01/31/2023] Open
Abstract
BACKGROUND Prior to the coronavirus (COVID-19) pandemic, adolescents with type 1 diabetes (T1D) already experienced far greater rates of psychological distress than their peers. With the pandemic further challenging mental health and increasing the barriers to maintaining optimal diabetes self-management, it is vital this population has access to remotely deliverable, evidence-based interventions to improve psychological and diabetes outcomes. Chatbots, defined as digital conversational agents, offer these unique advantages, as well as the ability to engage in empathetic and personalized conversations 24/7. Building on previous work developing a self-compassion program for adolescents with T1D, a self-compassion chatbot was developed for adolescents with T1D to address these concerns. However, the acceptability and potential clinical usability of a chatbot to deliver self-compassion coping tools to adolescents with T1D remained unknown. OBJECTIVE This qualitative study was designed to evaluate the acceptability and potential clinical utility of a novel self-compassion chatbot (called 'COMPASS') among adolescents aged 12 to 16 years with T1D and their diabetes healthcare professionals. METHODS Potential adolescent participants were recruited from previous participant lists, and online and in-clinic study flyers, whereas healthcare professionals were recruited from clinic emails and diabetes research special interest groups. Qualitative Zoom interviews exploring views on a newly developed self-compassion chatbot were conducted with 19 adolescents (in 4 focus groups), and 11 diabetes healthcare professionals (in 2 focus groups and 6 individual interviews), from March to April 2022. Transcripts were analyzed using directed content analysis to examine the features and content of greatest importance to both groups. RESULTS Adolescents were broadly representation of the youth population living with T1D in Aotearoa (58% female, 68% Aotearoa New Zealand European, 11% Māori). Healthcare professionals represented a range of disciplines including Diabetes Nurse Specialists (n = 3), Health Psychologists (n = 3), Dieticians (n = 3), and Endocrinologists (n = 2). Findings offer early insight into what adolescents with T1D and their healthcare professionals see as shared advantages of COMPASS and desired future additions, such as personalization (mentioned by all 19 adolescents), self-management support (mentioned by 13 of 19 adolescents), clinical utility (mentioned by all 11 healthcare professionals), and breadth and flexibility of tools (mentioned by 10 of 11 healthcare professionals). CONCLUSIONS Early data suggest that a self-compassion chatbot for adolescents with T1D is acceptable, relevant to common difficulties, and offers clinical utility during the COVID-19 pandemic. However, shared desired features amongst both groups, including problem-solving and integration with diabetes technology to support self-management, creating a safe peer-to-peer sense of community, and broadening the representation of different cultures, lived experience stories, and diabetes challenges, could further improve the potential of the chatbot. Based on these findings, the COMPASS chatbot is currently being improved to be tested in a future feasibility study. CLINICALTRIAL
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Affiliation(s)
- Anna Lynette Boggiss
- Department of Psychological Medicine, Faculty of Medical and Health Sciences, University of Auckland, Level 3, Building 507, 22-30 Park Avenue, Grafton, Auckland, NZ
| | - Nathan Sacha Consedine
- Department of Psychological Medicine, Faculty of Medical and Health Sciences, University of Auckland, Level 3, Building 507, 22-30 Park Avenue, Grafton, Auckland, NZ
| | - Sarah Hopkins
- Department of Psychological Medicine, Faculty of Medical and Health Sciences, University of Auckland, Level 3, Building 507, 22-30 Park Avenue, Grafton, Auckland, NZ
| | | | - Craig Jefferies
- Starship Children's Health, Auckland City Hospital, Auckland, NZ
| | - Paul Hofman
- Liggins Institute, University of Auckland, Auckland, NZ
| | - Anna Sofia Serlachius
- Department of Psychological Medicine, Faculty of Medical and Health Sciences, University of Auckland, Level 3, Building 507, 22-30 Park Avenue, Grafton, Auckland, NZ
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4
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Alassaf A, Gharaibeh L, Odeh R, Ibrahim S, Ajlouni K. Predictors of glycemic control in children and adolescents with type 1 diabetes at 12 months after diagnosis. Pediatr Diabetes 2022; 23:729-735. [PMID: 35393709 DOI: 10.1111/pedi.13342] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Revised: 03/03/2022] [Accepted: 04/05/2022] [Indexed: 11/28/2022] Open
Abstract
Identifying risk factors for suboptimal glycemic control during the first year after diagnosis with type 1 diabetes (T1D) may provide early appropriate and individualized management. Our aim was to study possible predictors of early glycemic control during the first year after diagnosis with T1D in children and adolescents in Jordan. This is a retrospective study conducted through a review of medical records at Jordan University Hospital and the National Centre for Diabetes, Endocrinology and Genetics. Children and adolescents diagnosed with T1D at age younger than 16 years and with diabetes duration of at least 2 years were included. Demographic, clinical and socioeconomic factors were collected, in addition to glycosylated hemoglobin (HbA1c) values during the first year after diagnosis. Average age at diagnosis of the 337 patients who were enrolled in the study was 7.7 ± 3.8 years. HbA1c at diagnosis was 10.9 ± 1.9% (95.64 ± 20.76 mmol/mol). Factors such as the involvement of children's mothers in deciding insulin doses, higher mother's educational level and higher family monthly income were associated with better early glycemic control. HbA1c at 6 months after diagnosis, parental marital status and compliance to counting carbohydrates were significant predictors of glycemic control at 12 months after diagnosis. Many clinical and socioeconomic factors were associated with early glycemic control at 12 months after diagnosis. Modifiable risk factors must be addressed as early as possible to decrease future complications. Children with nonmodifiable risk factors should be identified early for closer observation and providing individualized diabetes care plan.
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Affiliation(s)
- Abeer Alassaf
- Department of Pediatrics, University of Jordan, Amman, Jordan
| | - Lobna Gharaibeh
- Pharmacological and Diagnostic Research Center, Faculty of Pharmacy, Al-Ahliyya Amman University, Amman, Jordan
| | - Rasha Odeh
- Department of Pediatrics, University of Jordan, Amman, Jordan
| | - Sarah Ibrahim
- Department of Pediatrics, University of Jordan, Amman, Jordan
| | - Kamel Ajlouni
- The National Center (Institute) for Diabetes, Endocrinology and Genetics (NCDEG), University of Jordan, Amman, Jordan
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5
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Loseby P, Schache K, Cavadino A, Young S, Hofman PL, Serlachius A. The role of protective psychological factors, self-care behaviors, and HbA1c in young adults with type 1 diabetes. Pediatr Diabetes 2022; 23:380-389. [PMID: 34967089 DOI: 10.1111/pedi.13306] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2021] [Accepted: 12/21/2021] [Indexed: 12/01/2022] Open
Abstract
OBJECTIVE To investigate whether protective psychological factors in young adults with type 1 diabetes are associated with more optimal self-care behaviors and HbA1c, and to explore possible mediators between protective psychological factors and HbA1c. RESEARCH DESIGN AND METHODS This cross-sectional study examined the associations between protective psychological factors (optimism, positive efficacy expectancies, and self-compassion), maladaptive psychological factors (depression, anxiety, and stress), self-care behaviors, and HbA1c in 113 young adults (17-25 years) with type 1 diabetes in Auckland, New Zealand. Pearson's correlations, multiple linear regressions, and multiple mediation analyses were used to examine associations and mediators. RESULTS Higher positive efficacy expectancies (beliefs about coping with difficulties) were associated with more optimal HbA1c (β = -0.26, 95% CI: -1.99 to -0.45) and more optimal self-care behaviors (β = 0.33, 95% CI: 0.28 to 0.92) in the adjusted models. Higher levels of self-compassion were associated with more optimal self-care behaviors (β = 0.27, 95% CI: 0.09 to 0.43). Depression was associated with less optimal self-care behaviors (β = -0.35, 95% CI: -1.33 to -0.43) and stress was associated with less optimal HbA1c (β = 0.26, 95% CI: 0.27 to 1.21). Mediation results suggested that self-care behaviors mediated the relationship between all three of the protective psychological factors and more optimal HbA1c, and that lower stress also mediated the relationship between higher self-compassion and more optimal HbA1c. CONCLUSIONS This study adds to the emerging literature that protective psychological factors may play an adaptive role in improving health outcomes in young adults with type 1 diabetes. Interventions targeting protective psychological factors present a promising approach to optimizing wellbeing and self-care in youth with type 1 diabetes.
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Affiliation(s)
- Philippa Loseby
- Department of Psychological Medicine, The University of Auckland, Auckland, New Zealand
| | - Kiralee Schache
- Department of Psychological Medicine, The University of Auckland, Auckland, New Zealand.,Psychological Medicine, Counties Manukau Health, Auckland, New Zealand
| | - Alana Cavadino
- Epidemiology and Biostatistics, School of Population Health, The University of Auckland, Auckland, New Zealand
| | - Simon Young
- North Shore Hospital, Waitemata District Health Board, Auckland, New Zealand
| | - Paul L Hofman
- Liggins Institute, University of Auckland, Auckland, New Zealand
| | - Anna Serlachius
- Department of Psychological Medicine, The University of Auckland, Auckland, New Zealand
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6
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Hashemipour M, Hovsepian S, Mozafarian N, Motaghi Z, Izadikhah E, Maracy MR. Factors related to glycemic control in children and adolescents with type 1 diabetes mellitus in Isfahan, Iran. J Diabetes Metab Disord 2021; 20:1281-1288. [PMID: 34900779 PMCID: PMC8630237 DOI: 10.1007/s40200-021-00854-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/24/2020] [Accepted: 07/06/2021] [Indexed: 10/20/2022]
Abstract
PURPOSE Glycemic control is traditionally evaluated by monitoring of hemoglobin A1c (HbA1c). This study aims to explore factors related to glycemic control among pediatrics with type 1 diabetes mellitus (T1DM). METHODS This cross-sectional study was conducted among 454 students aged 6-18 years with T1DM in 2018. Demographic and disease related information were collected by a validated questionnaire. Generalized Linear Models (GLM) were used to investigate the association of explanatory variables with HbA1c concentration. RESULTS The mean (SD) age of the participants was 11.7(± 3.3) years. The overall prevalence of suboptimal glycemic control was 85.5% (HbA1c ≥ 7%). Results showed that post pubertal children experienced a significant decrease in HbA1c levels compared to prepubertal children (β =-0.83, p = 0.003). Underweight children had an increase of 1.32% in HBA1c concentration compared with normal weight children (β = 1.32, P = 0.007). We also found that participants with passive smoking had higher HBA1c levels than those without (β = 0.536, P = 0.022). CONCLUSIONS The results indicated that age, BMI and passive smoking and were significantly associated with HbA1c levels. It is suggested that glycemic control is related to multiple factors and the interaction of these factors with each other may have positive or negative effects on it which should be investigated in future studies. Improved understanding in this area could lead to prevention of deterioration in glycemic control.
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Affiliation(s)
- Mahin Hashemipour
- Metabolic Liver Disease Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
- Isfahan Endocrine and Metabolism Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Silva Hovsepian
- Isfahan Endocrine and Metabolism Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
- Imam Hossein Children’s Hospital, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Nafiseh Mozafarian
- Child Growth and Development Research Center, Research Institute for Primordial Prevention of Noncommunicable Disease, Isfahan University of Medical Sciences, Isfahan, Iran
| | | | - Elahe Izadikhah
- Noncommunicable Disease Responsible, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Mohammad Reza Maracy
- Department of Biostatistics and Epidemiology, School of Public Health, Isfahan University of Medical Sciences, Isfahan, Iran
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7
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Walker AF, Cuttriss N, Haller MJ, Hood KK, Gurka MJ, Filipp SL, Anez-Zabala C, Yabut K, Roque X, Wong JJ, Baer L, Figg L, Bernier A, Westen S, Lewit E, Sheehan E, Basina M, Lal R, Maizel J, Maahs DM. Democratizing type 1 diabetes specialty care in the primary care setting to reduce health disparities: project extension for community healthcare outcomes (ECHO) T1D. BMJ Open Diabetes Res Care 2021; 9:9/1/e002262. [PMID: 34244218 PMCID: PMC8268922 DOI: 10.1136/bmjdrc-2021-002262] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2021] [Accepted: 06/05/2021] [Indexed: 11/26/2022] Open
Abstract
INTRODUCTION Project ECHO (Extension for Community Healthcare Outcomes) is a tele-education outreach model that seeks to democratize specialty knowledge to reduce disparities and improve health outcomes. Limited utilization of endocrinologists forces many primary care providers (PCPs) to care for patients with type 1 diabetes (T1D) without specialty support. Accordingly, an ECHO T1D program was developed and piloted in Florida and California. Our goal was to demonstrate the feasibility of an ECHO program focused on T1D and improve PCPs' abilities to manage patients with T1D. RESEARCH DESIGN AND METHODS Health centers (ie, spokes) were recruited into the ECHO T1D pilot through an innovative approach, focusing on Federally Qualified Health Centers and through identification of high-need catchment areas using the Neighborhood Deprivation Index and provider geocoding. Participating spokes received weekly tele-education provided by the University of Florida and Stanford University hub specialty team through virtual ECHO clinics, real-time support with complex T1D medical decision-making, access to a diabetes support coach, and access to an online repository of diabetes care resources. Participating PCPs completed pre/post-tests assessing diabetes knowledge and confidence and an exit survey gleaning feedback about overall ECHO T1D program experiences. RESULTS In Florida, 12 spoke sites enrolled with 67 clinics serving >1000 patients with T1D. In California, 11 spoke sites enrolled with 37 clinics serving >900 patients with T1D. During the 6-month intervention, 27 tele-education clinics were offered and n=70 PCPs (22 from Florida, 48 from California) from participating spoke sites completed pre/post-test surveys assessing diabetes care knowledge and confidence in diabetes care. There was statistically significant improvement in diabetes knowledge (p≤0.01) as well as in diabetes confidence (p≤0.01). CONCLUSIONS The ECHO T1D pilot demonstrated proof of concept for a T1D-specific ECHO program and represents a viable model to reach medically underserved communities which do not use specialists.
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Affiliation(s)
- Ashby F Walker
- University of Florida Diabetes Institute, Gainesville, FL, USA
- Department of Health Services Research, Management and Policy, University of Florida, Gainesville, FL, USA
| | - Nicolas Cuttriss
- Department of Pediatrics and Division of Pediatric Endocrinology and Diabetes, Stanford University, Palo Alto, California, USA
| | - Michael J Haller
- University of Florida Diabetes Institute, Gainesville, FL, USA
- Department of Pediatrics, University of Florida, Gainesville, Florida, USA
| | - Korey K Hood
- Department of Pediatrics and Division of Pediatric Endocrinology and Diabetes, Stanford University, Palo Alto, California, USA
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - Matthew J Gurka
- Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, Florida, USA
| | - Stephanie L Filipp
- Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, Florida, USA
| | | | - Katarina Yabut
- Department of Pediatrics and Division of Pediatric Endocrinology and Diabetes, Stanford University, Palo Alto, California, USA
| | - Xanadu Roque
- Department of Pediatrics, University of Florida, Gainesville, Florida, USA
| | - Jessie J Wong
- Department of Pediatrics and Division of Pediatric Endocrinology and Diabetes, Stanford University, Palo Alto, California, USA
| | - Linda Baer
- Department of Pediatrics and Division of Pediatric Endocrinology and Diabetes, Stanford University, Palo Alto, California, USA
| | - Lauren Figg
- Department of Pediatrics and Division of Pediatric Endocrinology and Diabetes, Stanford University, Palo Alto, California, USA
| | - Angelina Bernier
- Department of Pediatrics, University of Florida, Gainesville, Florida, USA
| | - Sarah Westen
- Department of Clinical and Health Psychology, University of Florida, Gainesville, Florida, USA
| | - Eugene Lewit
- Department of Health Research and Policy, Stanford, Palo Alto, California, USA
| | - Eleni Sheehan
- Department of Pediatrics, University of Florida, Gainesville, Florida, USA
| | - Marina Basina
- Department of Pediatrics and Division of Pediatric Endocrinology and Diabetes, Stanford University, Palo Alto, California, USA
- Department of Medicine, Division of Endocrinology, Gerontology & Metabolism, Stanford University, Palo Alto, California, USA
| | - Rayhan Lal
- Department of Pediatrics and Division of Pediatric Endocrinology and Diabetes, Stanford University, Palo Alto, California, USA
- Department of Medicine, Division of Endocrinology, Gerontology & Metabolism, Stanford University, Palo Alto, California, USA
| | - Jennifer Maizel
- College of Public Health and Health Professions, University of Florida, Gainesville, Florida, USA
| | - David M Maahs
- Department of Pediatrics and Division of Pediatric Endocrinology and Diabetes, Stanford University, Palo Alto, California, USA
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8
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Walker AF, Hood KK, Gurka MJ, Filipp SL, Anez-Zabala C, Cuttriss N, Haller MJ, Roque X, Naranjo D, Aulisio G, Addala A, Konopack J, Westen S, Yabut K, Mercado E, Look S, Fitzgerald B, Maizel J, Maahs DM. Barriers to Technology Use and Endocrinology Care for Underserved Communities With Type 1 Diabetes. Diabetes Care 2021; 44:1480-1490. [PMID: 34001535 PMCID: PMC8323174 DOI: 10.2337/dc20-2753] [Citation(s) in RCA: 68] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Accepted: 03/31/2021] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Disparities in type 1 diabetes related to use of technologies like continuous glucose monitors (CGMs) and utilization of diabetes care are pronounced based on socioeconomic status (SES), race, and ethnicity. However, systematic reports of perspectives from patients in vulnerable communities regarding barriers are limited. RESEARCH DESIGN AND METHODS To better understand barriers, focus groups were conducted in Florida and California with adults ≥18 years old with type 1 diabetes with selection criteria including hospitalization for diabetic ketoacidosis, HbA1c >9%, and/or receiving care at a Federally Qualified Health Center. Sixteen focus groups were conducted in English or Spanish with 86 adults (mean age 42 ± 16.2 years). Transcript themes and pre-focus group demographic survey data were analyzed. In order of frequency, barriers to diabetes technology and endocrinology care included 1) provider level (negative provider encounters), 2) system level (financial coverage), and 3) individual level (preferences). RESULTS Over 50% of participants had not seen an endocrinologist in the past year or were only seen once including during hospital visits. In Florida, there was less technology use overall (38% used CGMs in FL and 63% in CA; 43% used pumps in FL and 69% in CA) and significant differences in pump use by SES (P = 0.02 in FL; P = 0.08 in CA) and race/ethnicity (P = 0.01 in FL; P = 0.80 in CA). In California, there were significant differences in CGM use by race/ethnicity (P = 0.05 in CA; P = 0.56 in FL) and education level (P = 0.02 in CA; P = 0.90 in FL). CONCLUSIONS These findings provide novel insights into the experiences of vulnerable communities and demonstrate the need for multilevel interventions aimed at offsetting disparities in diabetes.
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Affiliation(s)
- Ashby F Walker
- University of Florida Diabetes Institute, Gainesville, FL .,Department of Health Services Research, Management, and Policy, University of Florida, Gainesville, FL
| | - Korey K Hood
- Division of Endocrinology and Diabetes, Department of Pediatrics, Stanford University, Stanford, CA.,Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA
| | - Matthew J Gurka
- Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL
| | - Stephanie L Filipp
- Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL
| | | | - Nicolas Cuttriss
- Division of Endocrinology and Diabetes, Department of Pediatrics, Stanford University, Stanford, CA
| | - Michael J Haller
- University of Florida Diabetes Institute, Gainesville, FL.,Department of Pediatrics, University of Florida, Gainesville, FL
| | - Xanadu Roque
- Department of Pediatrics, University of Florida, Gainesville, FL
| | - Diana Naranjo
- Division of Endocrinology and Diabetes, Department of Pediatrics, Stanford University, Stanford, CA.,Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA
| | - Gina Aulisio
- University of Florida Diabetes Institute, Gainesville, FL
| | - Ananta Addala
- Division of Endocrinology and Diabetes, Department of Pediatrics, Stanford University, Stanford, CA
| | - Jason Konopack
- Department of Family Medicine, University of Florida, Gainesville, FL
| | - Sarah Westen
- Department of Clinical and Health Psychology, University of Florida, Gainesville, FL
| | - Katarina Yabut
- Division of Endocrinology and Diabetes, Department of Pediatrics, Stanford University, Stanford, CA
| | - Elvira Mercado
- Department of Family Medicine, University of Florida, Gainesville, FL
| | - Sydney Look
- College of Medicine, University of Florida, Gainesville, FL
| | - Brian Fitzgerald
- Department of Family Medicine, University of Florida, Gainesville, FL
| | - Jennifer Maizel
- College of Public Health and Health Professions, University of Florida, Gainesville, FL
| | - David M Maahs
- Division of Endocrinology and Diabetes, Department of Pediatrics, Stanford University, Stanford, CA
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9
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Baechle C, Stahl-Pehe A, Castillo K, Selinski S, Holl RW, Rosenbauer J. Association of family structure with type 1 diabetes management and outcomes in adolescents: A population-based cross-sectional survey. Pediatr Diabetes 2021; 22:482-494. [PMID: 33259124 DOI: 10.1111/pedi.13166] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Revised: 09/09/2020] [Accepted: 11/11/2020] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Diabetes therapies have enormously changed during past decades, but only few studies have analyzed the association between family structure and diabetes management and outcomes. OBJECTIVE To analyze cross-sectionally the associations of family structure with type 1 diabetes (T1D) management and various diabetes outcomes. METHODS A total of 1635 11- to 17-year-old participants and their parents completed one of three baseline surveys as part of a nationwide, population-based cohort study on early-onset, long-standing T1D. Associations between family structure and outcome variables were analyzed by multivariable linear/logistic regression. RESULTS Compared to adolescents living with both parents (reference), HbA1c was 0.48% (95% confidence interval 0.24; 0.71) / 5.2 (2.6; 7.8) mmol/mol higher in adolescents living with one parent and 0.34% (0.08; 0.59) / 3.7 (0.9; 6.5) mmol/mol higher in those living with one parent and her/his partner. The blood glucose self-monitoring (SMBG) frequency was lower (single parent: -0.6 (-1.1; -0.2), parent and partner:-0.5 (-1.0; 0.0)) and parents reported more long-term consequences related to school or work (ORsingle-parent 1.52 (0.90; 2.57), ORparent + partner 1.50 (0.86; 2.60)). While living with one parent was associated with increased odds of insulin injection vs. insulin pump therapy (OR 1.61 [1.13; 2.29]), the odds of low hypoglycemia awareness (OR 1.75 [1.00; 3.08]) and diabetes complications (1.32 [0.78; 2.22]) were higher in people living with a parent and her/his partner. CONCLUSIONS Living with only one parent with or without a new partner was associated with less SMBG and pump use and poor diabetes outcomes. Future studies to explore the underlying mechanisms are required.
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Affiliation(s)
- Christina Baechle
- German Diabetes Center, Institute for Biometrics and Epidemiology, Düsseldorf, Germany.,German Center for Diabetes Research, Neuherberg, Germany
| | - Anna Stahl-Pehe
- German Diabetes Center, Institute for Biometrics and Epidemiology, Düsseldorf, Germany.,German Center for Diabetes Research, Neuherberg, Germany
| | - Katty Castillo
- German Diabetes Center, Institute for Biometrics and Epidemiology, Düsseldorf, Germany.,German Center for Diabetes Research, Neuherberg, Germany
| | - Silvia Selinski
- German Diabetes Center, Institute for Biometrics and Epidemiology, Düsseldorf, Germany.,German Center for Diabetes Research, Neuherberg, Germany
| | - Reinhard W Holl
- University of Ulm, Institute of Epidemiology and Medical Biometry, ZIBMT, Ulm, Germany.,German Center for Diabetes Research, Neuherberg, Germany
| | - Joachim Rosenbauer
- German Diabetes Center, Institute for Biometrics and Epidemiology, Düsseldorf, Germany.,German Center for Diabetes Research, Neuherberg, Germany
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10
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Cox ED, Palta M, Lasarev M, Binder AT, Connolly JR, Flynn KE. Influences of health and environmental deprivation on family relationships among children with chronic disease. Qual Life Res 2021; 30:1337-1346. [PMID: 33496901 DOI: 10.1007/s11136-020-02737-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/13/2020] [Indexed: 12/19/2022]
Abstract
PURPOSE Families play a key role in managing chronic illness. Among chronically ill children, we describe the Patient-Reported Outcomes Measurement Information System (PROMIS) Family Relationships measure over time and its associations with sociodemographics, environmental deprivation, and health. METHODS Parents of children aged 8-18 years with asthma (n = 171), type 1 diabetes (n = 199), or sickle cell disease (n = 135), recruited in pediatric clinics and emergency departments (ED), completed demographic surveys. Every six months for up to three years, children completed PROMIS Family Relationships, Anxiety, and Depressive Symptoms short forms (T-scores; mean 50, SD = 10), and a 5-level health status item. Linear mixed models were fit to estimate associations. RESULTS Older baseline age was associated with weaker family relationships. For example, for each 3-year higher baseline age, relationships were 3 points weaker for males (- 3.0; 95%CI - 5.7 to - .0.2) and females (- 3.1; 95%CI - 6.0 to - 0.3) with asthma recruited in the ED. For each 1-unit higher mean overall health, relationships were 4.6 points (95%CI 3.2-6.1) stronger for children with diabetes and about 2 points stronger for children with asthma (2.3; 0.7-3.9) and sickle cell disease (2.1; 0.3-3.9). Family relationships were 0.3-0.5 points weaker for each 1-unit increment in mean anxiety or depressive symptoms across all three diseases. Relationships were not significantly associated with environmental deprivation and generally stable over time. CONCLUSIONS Family relationships were weaker among older children and generally stable over time, yet fluctuated with physical and mental health. Monitoring PROMIS Family Relationships scores may facilitate referrals for chronically ill children who need support.
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Affiliation(s)
- Elizabeth D Cox
- Department of Pediatrics, University of Wisconsin School of Medicine and Public Health, H6/558 Clinical Science Center, 600 Highland Avenue, Madison, WI, 53792-4108, USA.
| | - Mari Palta
- Department of Population Health Sciences, University of Wisconsin School of Medicine and Public Health, 600 Highland Avenue, Madison, WI, USA.,Department of Biostatistics and Medical Informatics, University of Wisconsin School of Medicine and Public Health, 600 Highland Avenue, Madison, WI, USA
| | - Michael Lasarev
- Department of Biostatistics and Medical Informatics, University of Wisconsin School of Medicine and Public Health, 600 Highland Avenue, Madison, WI, USA
| | - Alex T Binder
- Department of Pediatrics, University of Wisconsin School of Medicine and Public Health, H6/558 Clinical Science Center, 600 Highland Avenue, Madison, WI, 53792-4108, USA
| | - Jenny R Connolly
- Department of Pediatrics, University of Wisconsin School of Medicine and Public Health, H6/558 Clinical Science Center, 600 Highland Avenue, Madison, WI, 53792-4108, USA
| | - Kathryn E Flynn
- Department of Medicine, Medical College of Wisconsin, 8701 Watertown Plank Road, Milwaukee, WI, USA
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11
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Walker AF, Hu H, Cuttriss N, Anez-Zabala C, Yabut K, Haller MJ, Maahs DM. The Neighborhood Deprivation Index and Provider Geocoding Identify Critical Catchment Areas for Diabetes Outreach. J Clin Endocrinol Metab 2020; 105:5872808. [PMID: 32676640 PMCID: PMC7418444 DOI: 10.1210/clinem/dgaa462] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/02/2020] [Accepted: 07/13/2020] [Indexed: 01/19/2023]
Abstract
PURPOSE In designing a Project ECHO™ type 1 diabetes (T1D) program in Florida and California, the Neighborhood Deprivation Index (NDI) was used in conjunction with geocoding of primary care providers (PCPs) and endocrinologists in each state to concurrently identify areas with low endocrinology provider density and high health risk/poverty areas. The NDI measures many aspects of poverty proven to be critical indicators of health outcomes. METHODS The data from the 2013-2017 American Community Survey (ACS) 5-year estimates were used to create NDI maps for California and Florida. In addition, geocoding and 30-minute drive-time buffers were performed using publicly available provider directories for PCPs and endocrinologists in both states by Google Geocoding API and the TravelTime Search Application Programming Interface (API). RESULTS Based on these findings, we defined high-need catchment areas as areas with (1) more than a 30-minute drive to the nearest endocrinologist but within a 30-minute drive to the nearest PCP; (2) an NDI in the highest quartile; and (3) a population above the median (5199 for census tracts, and 1394 for census block groups). Out of the 12 181 census tracts and 34 490 census block groups in California and Florida, we identified 57 tracts and 215 block groups meeting these criteria as high-need catchment areas. CONCLUSION Geospatial analysis provides an important initial methodologic step to effectively focus outreach efforts in diabetes program development. The integration of the NDI with geocoded provider directories enables more cost-effective and targeted interventions to reach the most vulnerable populations living with T1D.
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Affiliation(s)
- Ashby F Walker
- University of Florida Diabetes Institute, University of Florida, Gainesville, Florida
- Department of Health Services Research, Management and Policy, University of Florida, Gainesville, Florida
- Correspondence and Reprint Requests: Ashby F. Walker, University of Florida Diabetes Institute; 1275 Center Drive, Box 1000309, Gainesville, FL 32610, USA. E-mail:
| | - Hui Hu
- Department of Epidemiology, University of Florida, Gainesville, Florida
| | - Nicolas Cuttriss
- Division of Pediatric Endocrinology, Stanford University, Stanford, California
| | | | - Katarina Yabut
- Division of Pediatric Endocrinology, Stanford University, Stanford, California
| | - Michael J Haller
- University of Florida Diabetes Institute, University of Florida, Gainesville, Florida
- Department of Pediatrics, University of Florida, Gainesville, Florida
- Stanford Diabetes Research Center, Stanford, California
| | - David M Maahs
- Division of Pediatric Endocrinology, Stanford University, Stanford, California
- Stanford Diabetes Research Center, Stanford, California
- Health Research and Policy (Epidemiology), Stanford University, Stanford, California
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12
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Mazarello Paes V, Barrett JK, Dunger DB, Gevers EF, Taylor‐Robinson DC, Viner RM, Stephenson TJ. Factors predicting poor glycemic control in the first two years of childhood onset type 1 diabetes in a cohort from East London, UK: Analyses using mixed effects fractional polynomial models. Pediatr Diabetes 2020; 21:288-299. [PMID: 31782879 PMCID: PMC7028081 DOI: 10.1111/pedi.12950] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2019] [Revised: 10/15/2019] [Accepted: 11/14/2019] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND/OBJECTIVE Poor early glycemic control in childhood onset type 1 diabetes (T1D) is associated with future risk of acute and chronic complications. Our aim was to identify the predictors of higher glycated hemoglobin (HbA1c) within 24 months of T1D diagnosis in children and adolescents. METHODS Mixed effects models with fractional polynomials were used to analyze longitudinal data of patients <19 years of age, followed from T1D diagnosis for up to 2 years, at three diabetes clinics in East London, United Kingdom. RESULTS A total of 2209 HbA1c observations were available for 356 patients (52.5% female; 64.4% non-white), followed from within 3 months of diagnosis during years 2005 to 2015, with a mean ± SD of 6.2 ± 2.5 HbA1c observations/participant. The mean age and HbA1c at diagnosis were 8.9 ± 4.3 years and 10.7% ±4.3% (or expressed as mmol/mol HbA1c mean ± SD 92.9 ± 23.10 mmol/mol) respectively. Over the 2 years following T1D diagnosis, HbA1c levels were mostly above the National Institute for Health, Care and Excellence (NICE), UK recommendations of 7.5% (<58 mmol/mol). Significant (P < .05) predictors of poorer glycemic control were: Age at diagnosis (12-18 years), higher HbA1c at baseline (>9.5%, ie, >80 mmol/mol), clinic site, non-white ethnicity, and period (pre-year 2011) of diagnosis. Additionally in univariable analyses, frequency of clinic visits, HbA1c at diagnosis, and type of insulin treatment regimen showed association with poor glycemic control (P < .05). CONCLUSIONS Major risk factors of poorer glycemic control during 3-24 months following childhood onset T1D are: diagnosis prior to 2011, higher HbA1c levels at baseline, age at diagnosis, non-white ethnicity, and clinic site.
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Affiliation(s)
- Veena Mazarello Paes
- Population, Policy and Practice Research and Teaching DepartmentUCL Great Ormond Street Institute of Child Health, University College LondonLondonUK,Department of PaediatricsUniversity of CambridgeCambridgeUK
| | | | - David B. Dunger
- Department of PaediatricsUniversity of CambridgeCambridgeUK,Wellcome Trust—MRC Institute of Metabolic SciencesUniversity of CambridgeCambridgeUK
| | - Evelien F. Gevers
- Centre for Endocrinology, William Harvey Research InstituteQueen Mary UniversityLondonUK,Department of Paediatric EndocrinologyBarts Health NHS Trust, Royal London Children's HospitalLondonUK
| | | | - Russell M. Viner
- Population, Policy and Practice Research and Teaching DepartmentUCL Great Ormond Street Institute of Child Health, University College LondonLondonUK,The Royal College of Paediatrics and Child HealthLondonUK
| | - Terence J. Stephenson
- Population, Policy and Practice Research and Teaching DepartmentUCL Great Ormond Street Institute of Child Health, University College LondonLondonUK
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13
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Rodrigues AK, Melo AE, Domingueti CP. Association between reduced serum levels of magnesium and the presence of poor glycemic control and complications in type 1 diabetes mellitus: A systematic review and meta-analysis. Diabetes Metab Syndr 2020; 14:127-134. [PMID: 32088645 DOI: 10.1016/j.dsx.2020.01.015] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2019] [Revised: 01/30/2020] [Accepted: 01/30/2020] [Indexed: 01/25/2023]
Abstract
OBJECTIVE To evaluate the association between reduced serum magnesium levels and poor glycemic control and/or complications in patients with type 1 diabetes mellitus through a systematic review and meta-analysis. METHODS The articles were selected using the Medline/PubMed, Web of Science, Scopus and Scielo databases. Eligibility criteria were cross-sectional, cohort or case-control observational studies that assessed the association between reduced magnesium levels and poor glycemic control and/or complications in patients with type 1 diabetes mellitus. RESULTS Nine articles were included in the systematic review and two in the meta-analysis, all articles being cross-sectional. Among the seven studies that were designed to evaluate glycemic control, five showed an association between reduced levels of magnesium and poor glycemic control, and these findings were corroborated by the meta-analysis. Among the two studies in which dyslipidemia was evaluated, both showed higher levels of triglycerides, total cholesterol and LDL cholesterol, and lower levels of HDL cholesterol in patients with lower levels of magnesium as compared to those with higher magnesium levels. The three studies that evaluated diabetes kidney disease and the two studies that evaluated diabetic retinopathy found divergent results. CONCLUSION There is an association between reduced levels of magnesium and poor glycemic control in patients with type 1 diabetes mellitus, however, this needs further studies.
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Affiliation(s)
- Ana Kelen Rodrigues
- Universidade Federal de São João del Rei, Campus Centro Oeste Dona Lindu, Divinópolis, MG, Brazil
| | - Ana Elisa Melo
- Universidade Federal de São João del Rei, Campus Centro Oeste Dona Lindu, Divinópolis, MG, Brazil
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14
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Walker AF, Haller MJ, Gurka MJ, Morris HL, Bruggeman B, Miller K, Foster N, Anez Zabala C, Schatz DA. Addressing health disparities in type 1 diabetes through peer mentorship. Pediatr Diabetes 2020; 21:120-127. [PMID: 31617648 DOI: 10.1111/pedi.12935] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2019] [Revised: 10/08/2019] [Accepted: 10/08/2019] [Indexed: 02/06/2023] Open
Abstract
Pronounced health disparities exist in type 1 diabetes (T1D) based on socioeconomic status (SES) yet there are a lack of programs designed to promote health equity for vulnerable communities. The All for ONE (Outreach, Networks, and Education) mentoring program was piloted pairing college students and publicly insured teenagers with T1D to assess feasibility as a possible intervention. There were 22 mentors recruited (mean age 20 ± 2 years; 17 [77%] females; mean HbA1c 8.4 ± 1.5%) and matched with mentees based on gender. There were 42 teens randomized to treatment and control groups including 22 teens in the treatment group (age 14 ± 2 years; 17 [77%] females; HbA1c 9.8 ± 2.3%) and 20 teens in the control group (age 14 ± 2 years; 15 [75%] females; HbA1c 8.9 ± 2.0%) followed over 9 months. Outcome measures included HbA1c and the Children's Hope Scale. The intervention included automated text reminders for blood glucose monitoring, text exchanges, social events with education, and clinic visits with mentors/mentees. Mean change in HbA1c for teens was +0.09% in the intervention group, compared with +0.28% in the control group (P = .61); college students had a reduction in HbA1c of -0.22% (P = .38). Treatment group teens had marked improvement in their hope for the future compared to control group teens (P = .04) and were more likely to attend clinic visits (P = .02). This program established feasibility for a model that could be replicated and modified for other types of settings. Additional research is warranted to study the potential long-term benefits of participating in the All for ONE mentoring program.
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Affiliation(s)
- Ashby F Walker
- University of Florida Diabetes Institute, University of Florida, Gainesville, Florida.,Department of Health Services Research, Management and Policy, University of Florida, Gainesville, Florida
| | - Michael J Haller
- University of Florida Diabetes Institute, University of Florida, Gainesville, Florida.,Department of Pediatrics, University of Florida, Gainesville, Florida
| | - Matthew J Gurka
- Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, Florida
| | - Heather L Morris
- Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, Florida
| | | | | | | | | | - Desmond A Schatz
- University of Florida Diabetes Institute, University of Florida, Gainesville, Florida.,Department of Pediatrics, University of Florida, Gainesville, Florida
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15
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Chiavaroli V, Derraik JGB, Jalaludin MY, Albert BB, Ramkumar S, Cutfield WS, Hofman PL, Jefferies CA. Partial remission in type 1 diabetes and associated factors: Analysis based on the insulin dose-adjusted hemoglobin A1c in children and adolescents from a regional diabetes center, Auckland, New Zealand. Pediatr Diabetes 2019; 20:892-900. [PMID: 31237756 DOI: 10.1111/pedi.12881] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2019] [Revised: 04/25/2019] [Accepted: 06/10/2019] [Indexed: 01/13/2023] Open
Abstract
BACKGROUND Partial remission (PREM) by the insulin dose-adjusted HbA1c (IDAA1c) method has not been evaluated for the combined associations of ethnicity and socioeconomic status in children and adolescents with type 1 diabetes (T1D). OBJECTIVE To investigate prevalence and predictors of PREM defined by IDAA1c. METHODS Six hundred fourteen of 678 children (aged <15 years) with new-onset T1D (2000-2013) from a regional pediatric diabetes service (Auckland, New Zealand). RESULTS Overall rate of PREM at 3 months was 42.4%, and lower in Māori/Pacific children (28.6%; P = .006) and those of other ethnicities (28.8%; P = .030) compared with New Zealand Europeans (50.4%). Comparing the most and least deprived socioeconomic quintiles, the odds of PREM were lower among the most deprived (adjusted odds ratio [aOR] 0.44; P = .019). Lower rates of PREM were seen in children aged 0 to 4.9 years (23.8%) and 10 to 14 years (40.9%) than in children aged 5 to 9.9 years (57.4%; P < .05). Further predictors of lower rates of PREM were ketoacidosis at diagnosis (aOR 0.54 with DKA; P = .002) and diabetes duration (aOR 0.84 per month; P < .0001). Patient's sex, body mass index standard deviation score, or autoantibodies were not associated with PREM. PREM at 3 months was associated with lower HbA1c over 18 months compared with children not in PREM (65.0 vs 71.3 mmol/mol; P < .0001), independent of ketoacidosis. CONCLUSIONS This study on a regional cohort of youth with T1D showed social and ethnic disparities in rates of PREM defined by IDAA1c. Further research into reducing ketoacidosis rates at diagnosis and addressing factors associated with lower rates of PREM in non-European children are important health priorities.
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Affiliation(s)
- Valentina Chiavaroli
- Liggins Institute, University of Auckland, Auckland, New Zealand.,Neonatal Intensive Care Unit, Pescara Public Hospital, Pescara, Italy
| | - José G B Derraik
- Liggins Institute, University of Auckland, Auckland, New Zealand.,A Better Start - National Science Challenge, University of Auckland, Auckland, New Zealand.,Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden
| | - Muhammad Y Jalaludin
- Liggins Institute, University of Auckland, Auckland, New Zealand.,Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Benjamin B Albert
- Liggins Institute, University of Auckland, Auckland, New Zealand.,Starship Children's Health, Auckland District Health Board, Auckland, New Zealand
| | - Selvarajan Ramkumar
- Department of Endocrinology, Apollo Hospitals, Chennai, India.,Department of Endocrinology, Madras Medical College, Chennai, India
| | - Wayne S Cutfield
- Liggins Institute, University of Auckland, Auckland, New Zealand.,A Better Start - National Science Challenge, University of Auckland, Auckland, New Zealand.,Starship Children's Health, Auckland District Health Board, Auckland, New Zealand
| | - Paul L Hofman
- Liggins Institute, University of Auckland, Auckland, New Zealand.,Starship Children's Health, Auckland District Health Board, Auckland, New Zealand
| | - Craig A Jefferies
- Liggins Institute, University of Auckland, Auckland, New Zealand.,Starship Children's Health, Auckland District Health Board, Auckland, New Zealand
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16
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Cox ED, Connolly JR, Palta M, Rajamanickam VP, Flynn KE. Reliability and validity of PROMIS® pediatric family relationships short form in children 8-17 years of age with chronic disease. Qual Life Res 2019; 29:191-199. [PMID: 31401748 DOI: 10.1007/s11136-019-02266-x] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/03/2019] [Indexed: 11/30/2022]
Abstract
PURPOSE Families play a key role in managing pediatric chronic illness. The PROMIS® pediatric family relationships measure was developed primarily within the general pediatric population. We evaluated the Family Relationships short form in the context of pediatric chronic diseases. METHODS Children aged 8-17 years with asthma (n = 73), type 1 diabetes (n = 122), or sickle cell disease (n = 80) completed the Family Relationships 8a short form and the PROMIS Pediatric Profile-25's six domains representing physical, mental, and social health. Parents (N = 275) of these children completed the parent versions of the same measures. We evaluated reliability of the Family Relationships measure using Cronbach's alpha and IRT-based marginal reliability, and the standard error of measurement (SEM). Convergent/discriminant validity were assessed from correlations between the Family Relationships domain and the PROMIS-25 domains. RESULTS SEM increased for scores above the normative mean of 50. Cronbach's alpha and IRT-estimated marginal reliabilities exceeded 0.80 for children and parents across diseases, except in asthma, where marginal reliability was 0.75 for parents. Scores displayed small to large correlations in the expected directions with social and mental health domains. The largest correlations occurred with parents' proxy reports of children's depressive symptoms in sickle cell disease and asthma, r = - 0.60 (95% CI - 0.74, - 0.48) and r = - 0.58 (95% CI - 0.68, - 0.48) respectively. CONCLUSIONS The Family Relationships 8-item short form demonstrated adequate reliability and convergent/discriminant validity for use in pediatric chronic conditions, though scores above the mean displayed greater uncertainty. Evidence of the measure's reliability and validity in multiple contexts furthers the case for its use.
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Affiliation(s)
- Elizabeth D Cox
- Department of Pediatrics, University of Wisconsin School of Medicine and Public Health, H6/558 Clinical Science Center, 600 Highland Avenue, Madison, WI, 53792-4108, USA.
| | - Jennifer R Connolly
- Department of Pediatrics, University of Wisconsin School of Medicine and Public Health, H6/577 Clinical Science Center, 600 Highland Avenue, Madison, WI, 53792-4108, USA
| | - Mari Palta
- Department of Population Health Sciences, University of Wisconsin School of Medicine and Public Health, 689 Wisconsin Alumni Research Foundation, 610 Walnut Street, Madison, WI, 53726-2336, USA
| | - Victoria P Rajamanickam
- Department of Biostatistics and Medical Informatics, University of Wisconsin School of Medicine and Public Health, H6/526 Clinical Science Center, 600 Highland Avenue, Madison, WI, 53792-4108, USA
| | - Kathryn E Flynn
- Department of Medicine, Medical College of Wisconsin, 9200 W. Wisconsin Ave, Milwaukee, WI, 53226-3522, USA
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17
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Nielsen NF, Gaulke A, Eriksen TM, Svensson J, Skipper N. Socioeconomic Inequality in Metabolic Control Among Children With Type 1 Diabetes: A Nationwide Longitudinal Study of 4,079 Danish Children. Diabetes Care 2019; 42:1398-1405. [PMID: 31123155 DOI: 10.2337/dc19-0184] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/28/2019] [Accepted: 04/29/2019] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To examine inequality in glycemic control by maternal educational level among children with type 1 diabetes in a setting with universal access to health care. RESEARCH DESIGN AND METHODS This was a longitudinal nationwide study of 4,079 Danish children with type 1 diabetes between the years 2000 and 2013. Children were divided into four groups based on mothers' education prebirth (≤high school [n = 1,643], vocational or 2-year college [n = 1,548], bachelor's degree [n = 695], ≥master's degree [n = 193]). Means of socioeconomic and treatment characteristics were compared between groups. HbA1c and the number of daily glucose tests were compared repeatedly from onset until 5 years after onset across groups. HbA1c was compared across daily blood glucose testing frequency and groups. Linear regression was used to compare HbA1c across groups with and without adjustment for socioeconomic and treatment characteristics. RESULTS Large differences in HbA1c across maternal education were found. The mean level of HbA1c during follow-up was 59.7 mmol/mol (7.6%) for children of mothers with ≥master's degrees and 68.7 mmol/mol (8.4%) for children of mothers with ≤high school (difference: 9.0 mmol/mol [95% CI 7.5, 10.6]; 0.8% [95% CI 0.7, 1.0]). The associations were attenuated but remained significant after adjustment. Observable characteristics explained 41.2% of the difference in HbA1c between children of mothers with ≤high school and mothers with ≥master's degree; 22.5% of the difference was explained by more frequent blood glucose monitoring among the children with the highly educated mothers. CONCLUSIONS Family background is significantly related to outcomes for children with type 1 diabetes, even with universal access to health care.
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Affiliation(s)
- Nick F Nielsen
- Center for Economic Behavior and Inequality, Department of Economics, University of Copenhagen, Copenhagen, Denmark
| | - Amanda Gaulke
- Department of Economics, Kansas State University, Manhattan, KS
| | - Tine M Eriksen
- VIVE - The Danish Center of Social Science Research, Copenhagen, Denmark
| | - Jannet Svensson
- Pediatrics and Adolescent Department, Copenhagen University Hospital, Herlev, Denmark
| | - Niels Skipper
- Department of Economics and Business Economics, Aarhus University, Aarhus, Denmark
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18
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Flynn KE, Kliems H, Saoji N, Svenson J, Cox ED. Content validity of the PROMIS® pediatric family relationships measure for children with chronic illness. Health Qual Life Outcomes 2018; 16:203. [PMID: 30340500 PMCID: PMC6194608 DOI: 10.1186/s12955-018-1030-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2018] [Accepted: 10/02/2018] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Families play a critical role in supporting the health and well-being of children with chronic illnesses, who face a lifetime of responsibility for self-management of their condition. Our goal was to investigate whether the novel Patient-Reported Outcomes Measurement Information System® (PROMIS®) Pediatric Family Relationships measure, developed primarily within the general pediatric population, reflects the experiences of family relationships for chronically ill children and their parents. METHODS We conducted semi-structured qualitative interviews with children (aged 8-17) with common chronic conditions: asthma (n = 6), type 1 diabetes (n = 5), or sickle cell disease (n = 5), and separately with one of their parents (n = 16). Interviews were recorded, and two team members independently coded the written transcripts facilitated by Nvivo 10. The systematic content analysis used a combination of: 1) pre-specified themes corresponding to the six facets of the domain identified during measure development and reflected in the content of the items (i.e., Sense of Family; Love and Caring; Value and Acceptance; Trust, Dependability, and Support; Communication; Enjoyment), as well as 2) open-coding, allowing participants to define important concepts (i.e., disease impact). RESULTS Family relationships were conceptualized in a similar way to the general population, as evidenced by child and parent responses to open-ended questions about family relationships and to specific probes that corresponded with the item content in the Family Relationship 8-item short form. Children spontaneously discussed the impact of their disease on family relationships less often than parents did. Although participants described how living with a chronic illness positively and negatively impacted aspects of family relationships, nearly all participants believed their responses to the PROMIS® Family Relationships items would not change if they (or their child) did not have a chronic illness. CONCLUSIONS Among a sample of families of children with one of 3 chronic illnesses, participants described family relationships in a way that was consistent with the facets of the PROMIS® Family Relationship domain. This study adds to the content validity of the measure for children with chronic illness.
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Affiliation(s)
- Kathryn E. Flynn
- Department of Medicine, Medical College of Wisconsin, 9200 W. Wisconsin Ave, Milwaukee, WI 53226 USA
| | - Harald Kliems
- Department of Pediatrics, University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, Madison, WI 53792 USA
| | - Nikita Saoji
- Department of Pediatrics, University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, Madison, WI 53792 USA
| | - Jacob Svenson
- Department of Pediatrics, University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, Madison, WI 53792 USA
| | - Elizabeth D. Cox
- Department of Pediatrics, University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, Madison, WI 53792 USA
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19
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Fonolleda M, Murillo M, Vázquez F, Bel J, Vives-Pi M. Remission Phase in Paediatric Type 1 Diabetes: New Understanding and Emerging Biomarkers. Horm Res Paediatr 2018; 88:307-315. [PMID: 28772271 DOI: 10.1159/000479030] [Citation(s) in RCA: 49] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2017] [Accepted: 06/20/2017] [Indexed: 01/07/2023] Open
Abstract
Type 1 diabetes (T1D) is a metabolic disease of unknown aetiology that results from the autoimmune destruction of the β-cells. Clinical onset with classic hyperglycaemic symptoms occurs much more frequently in children and young adults, when less than 30% of β-cells remain. Exogenous insulin administration is the only treatment for patients. However, due to glucose dysregulation, severe complications develop gradually. Recently, an increase in T1D incidence has been reported worldwide, especially in children. Shortly after diagnosis, T1D patients often experience partial remission called "honeymoon phase," which lasts a few months, with minor requirements of exogenous insulin. In this stage, the remaining β-cells are still able to produce enough insulin to reduce the administration of exogenous insulin. A recovery of immunological tolerance to β-cell autoantigens could explain the regeneration attempt in this remission phase. This mini-review focuses on the remission phase in childhood T1D. Understanding this period and finding those peripheral biomarkers that are signs of immunoregulation or islet regeneration could contribute to the identification of patients with a better glycaemic prognosis and a lower risk of secondary complications. This remission phase could be a good checkpoint for the administration of future immunotherapies.
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Affiliation(s)
- Mireia Fonolleda
- Immunology Section, Germans Trias i Pujol Research Institute and University Hospital, Badalona, Spain
| | - Marta Murillo
- Pediatrics Section, Germans Trias i Pujol Research Institute and University Hospital, Badalona, Spain
| | - Federico Vázquez
- Endocrinology and Nutrition and Clinical Trials Unit, Germans Trias i Pujol Research Institute and University Hospital, Badalona, Spain
| | - Joan Bel
- Pediatrics Section, Germans Trias i Pujol Research Institute and University Hospital, Badalona, Spain
| | - Marta Vives-Pi
- Immunology Section, Germans Trias i Pujol Research Institute and University Hospital, Badalona, Spain.,Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
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20
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Hornung RJ, Reed PW, Mouat F, Jefferies C, Gunn AJ, Hofman PL. Angiotensin-converting enzyme-inhibitor therapy in adolescents with type 1 diabetes in a regional cohort: Auckland, New Zealand from 2006 to 2016. J Paediatr Child Health 2018; 54:493-498. [PMID: 29271523 DOI: 10.1111/jpc.13814] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/05/2017] [Revised: 09/25/2017] [Accepted: 10/23/2017] [Indexed: 11/28/2022]
Abstract
AIM To review indications and use of angiotensin-converting enzyme-inhibitor (ACEI) therapy for the treatment of persistent microalbuminuria (MA) and/or hypertension (HTN) in adolescents with type 1 diabetes mellitus (T1DM). METHODS Retrospective chart review of adolescent patients with T1DM seen within the paediatric diabetes service in Auckland, New Zealand, from 2006 to 2016. MA, HTN, patient demographic characteristics and ACEI prescribing and monitoring indices were examined. RESULTS Five hundred adolescents with T1DM were included. There were 26 patients (5%) with MA and/or HTN. MA alone was present in 16, HTN alone in 3 and both HTN and MA in 7. The 5-year MA/HTN-free rate was 98%, and the 10-year MA/HTN-free rate was 93%. Longer disease duration and earlier diagnosis were predictors of MA/HTN. There was no significant difference in standard clinical indices between study patients and others. ACEI was prescribed for 17 of 26 patients for either HTN or MA. Within 6 weeks of ACEI commencement, less than half of the subjects had repeat serum creatinine and MA screens and no record of repeat blood pressure measurement. Despite this, all patients had 3-monthly reviews within outpatient clinics where adjustments of ACEI doses were made. CONCLUSION In our regional adolescent population with T1DM, there were low rates of both MA and/or HTN. In those who required treatment with ACEI, clinical monitoring post-commencement of therapy was inconsistent. Local consensus guidelines for the management of persistent MA in children and adolescents with diabetes mellitus were developed in response to this study.
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Affiliation(s)
- Rosalie J Hornung
- Paediatric Diabetes and Endocrinology Service, Starship Children's Health, Auckland, New Zealand
| | - Peter W Reed
- Starship Children's Health Children's Research Centre, Auckland District Health Board, Auckland, New Zealand
| | - Fran Mouat
- Paediatric Diabetes and Endocrinology Service, Starship Children's Health, Auckland, New Zealand
| | - Craig Jefferies
- Paediatric Diabetes and Endocrinology Service, Starship Children's Health, Auckland, New Zealand
| | - Alistair J Gunn
- Paediatric Diabetes and Endocrinology Service, Starship Children's Health, Auckland, New Zealand.,Department of Physiology,, University of Auckland, Auckland, New Zealand
| | - Paul L Hofman
- Paediatric Diabetes and Endocrinology Service, Starship Children's Health, Auckland, New Zealand.,Liggins Institute, University of Auckland, Auckland, New Zealand
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21
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Mazarello Paes V, Charalampopoulos D, Edge J, Taylor-Robinson D, Stephenson T, Amin R. Predictors of glycemic control in the first year of diagnosis of childhood onset type 1 diabetes: A systematic review of quantitative evidence. Pediatr Diabetes 2018; 19:18-26. [PMID: 28488346 DOI: 10.1111/pedi.12530] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2016] [Revised: 02/28/2017] [Accepted: 03/28/2017] [Indexed: 12/14/2022] Open
Abstract
Early glycemic control is associated with reduced future vascular complications risk in type 1 diabetes (T1D). The aim of this study was to systematically review evidence on the predictors of glycemic control within 12 months of diagnosis of childhood onset T1D. Inclusion criteria for the electronic search were: interventional and observational studies that assessed and quantified an association between the predictor and glycemic control within 12 months of diagnosis of childhood onset T1D. A total of 17 915 articles were identified from 6 databases and 20 studies were finally included in the analysis. Harvest plots and narrative synthesis were used to summarize data from intervention (n = 0), prospective/retrospective cohort (n = 15), and cross-sectional (n = 5) studies. Significant predictors of poorer glycemic control 0 to 3 months after diagnosis were older age and female gender. Non-white ethnicity, diabetes autoantibody positivity, measures of deprivation, and non-private health insurance were potential predictors. Predictors of poorer glycemic control 4 to 12 months after diagnosis were: older age, non-white ethnicity, a single parent family, high hemoglobin A1c (HbA1c) levels at diagnosis, longer T1D duration, and non-intensive insulin therapy. Potential predictors included: family with health issues, clinical factors, and comorbidities at diagnosis. Most significant predictors of poor glycemic control within 12 months of diagnosis of childhood onset T1D are non-modifiable. These factors need to be recognized and addressed through individualized and multidisciplinary diabetes care. Further research is required to confirm the association of potential predictors with early glycemic control.
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Affiliation(s)
- Veena Mazarello Paes
- Children's Policy Research Unit, Great Ormond Street Institute of Child Health, University College London, London, UK.,Department of Paediatrics, University of Cambridge, Cambridge, UK
| | - Dimitrios Charalampopoulos
- Children's Policy Research Unit, Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Julie Edge
- Department of Paediatric Endocrinology and Diabetes, University of Oxford, Oxford, UK
| | - David Taylor-Robinson
- Children's Policy Research Unit, Great Ormond Street Institute of Child Health, University College London, London, UK.,Department of Public Health and Policy, University of Liverpool, Liverpool, UK
| | - Terence Stephenson
- Children's Policy Research Unit, Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Rakesh Amin
- Children's Policy Research Unit, Great Ormond Street Institute of Child Health, University College London, London, UK
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22
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Lindner LME, Rathmann W, Rosenbauer J. Inequalities in glycaemic control, hypoglycaemia and diabetic ketoacidosis according to socio-economic status and area-level deprivation in Type 1 diabetes mellitus: a systematic review. Diabet Med 2018; 35:12-32. [PMID: 28945942 DOI: 10.1111/dme.13519] [Citation(s) in RCA: 43] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/19/2017] [Indexed: 12/20/2022]
Abstract
AIM The aim of this systematic review was to examine the associations of individual-level as well as area-level socio-economic status and area-level deprivation with glycaemic control, hypoglycaemia and diabetic ketoacidosis in people with Type 1 diabetes mellitus. METHODS Ovid MEDLINE was searched to identify relevant cohort, case-control or cross-sectional studies published between January 2000 and June 2015. Search results were screened by title, abstract and keywords to identify eligible publications. Decisions on inclusion or exclusion of full texts were made independently by two reviewers. The Newcastle-Ottawa Scale was used to estimate the methodological quality of included studies. Quality assessment and extracted data of included studies were synthesized narratively and reported according to the PRISMA statement. RESULTS Literature search in Ovid MEDLINE identified 1345 eligible studies. Twenty studies matched our inclusion and exclusion criteria. Two articles were additionally identified through hand search. According to the Newcastle-Ottawa Scale, most of the studies were of average quality. Results on associations of socio-economic status and area-level deprivation with glycaemic control and hypoglycaemia were contradictory between studies. By contrast, lower socio-economic status and higher area-level deprivation were associated with a higher risk for diabetic ketoacidosis in all except one study. CONCLUSIONS Lower socio-economic status and higher area-level deprivation are associated with a higher risk of experiencing diabetic ketoacidosis in people with Type 1 diabetes mellitus. Access to care for socially deprived people needs to be expanded to overcome impairing effects on the course of the condition and to reduce healthcare disparities.
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Affiliation(s)
- L M E Lindner
- Institute for Biometrics and Epidemiology, German Diabetes Centre, Leibniz Centre for Diabetes Research at Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
- German Centre for Diabetes Research (DZD), München-Neuherberg, Germany
| | - W Rathmann
- Institute for Biometrics and Epidemiology, German Diabetes Centre, Leibniz Centre for Diabetes Research at Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
- German Centre for Diabetes Research (DZD), München-Neuherberg, Germany
| | - J Rosenbauer
- Institute for Biometrics and Epidemiology, German Diabetes Centre, Leibniz Centre for Diabetes Research at Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
- German Centre for Diabetes Research (DZD), München-Neuherberg, Germany
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23
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Diabetic Ketoacidosis Severity at Diagnosis and Glycaemic Control in the First Year of Childhood Onset Type 1 Diabetes-A Longitudinal Cohort Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2017; 15:ijerph15010026. [PMID: 29295580 PMCID: PMC5800126 DOI: 10.3390/ijerph15010026] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/19/2017] [Revised: 12/15/2017] [Accepted: 12/18/2017] [Indexed: 11/17/2022]
Abstract
It is unclear whether diabetic ketoacidosis (DKA) severity at diagnosis affects the natural history of type 1 diabetes (T1D). We analysed associations between DKA severity at diagnosis and glycaemic control during the first year post-diagnosis. We followed 341 children with T1D, <19 years (64% non-white) attending paediatric diabetes clinics in East London. Data were extracted from routine medical registers. Subjects were categorized with normal, mild, moderate, or severe DKA. Linear mixed-effects modelling was used to assess differences in longitudinal HbA1c trajectories (glycaemic control) during 12 months post-diagnosis (1288 HbA1c data-points) based on DKA, adjusting for sex, age, ethnicity, SES (Socioeconomic Status) and treatment type. Females (OR 1.6, 95% CI 1.1–2.4) and younger age, 0–6 vs. 13–18 years (OR 2.9, 95% CI 1.5–5.6) had increased risk for DKA at diagnosis. Moderate or severe DKA was associated with higher HbA1c at diagnosis (adjusted estimates 8 mmol/mol, 2–14, and 10 mmol/mol, 4–15, respectively, compared to normal DKA). Differences in HbA1c trajectories by DKA were no longer apparent at six months post-diagnosis. All subjects experienced a steep decrease in HbA1c during the first three months followed by a gradual increase. While, DKA severity was not associated with glycaemic control at 12 months post-diagnosis, age at diagnosis, ethnicity, gender, and treatment type were significantly associated. For example, Black and mixed ethnicity children had increased risk for poor glycaemic control compared to White children (adjusted RRR 5.4, 95% CI 1.7–17.3 and RRR 2.5, 95% CI 1.2–6.0, respectively). DKA severity at diagnosis is associated with higher initial HbA1c but not glycaemic control from six months post-diagnosis. Age at diagnosis, ethnicity, gender, and insulin pump are associated with glycaemic control at one year post-diagnosis.
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24
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Viner RM, White B, Amin R, Peters C, Khanolkar A, Christie D, Hindmarsh PC. Impact of deprivation, ethnicity, and insulin pump therapy on developmental trajectories of diabetes control in COB type 1 diabetes. Pediatr Diabetes 2017; 18:384-391. [PMID: 27534520 DOI: 10.1111/pedi.12407] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2015] [Revised: 04/18/2016] [Accepted: 05/30/2016] [Indexed: 11/28/2022] Open
Abstract
BACKGROUND There is marked variation in diabetes outcomes for children and adolescents across the UK. We used modelling techniques to examine the independent contributions of deprivation, ethnicity, insulin pump use, and health service use on HbA1c trajectories across adolescence. METHODS Prospective data from a large UK Paediatric & Adolescent Diabetes Service on subjects with type 1 diabetes (T1D) aged 9-17 years from January 2008 to December 2013: 2560 HbA1c datapoints were available on 384 patients [193 (50.4%) female]. Sequential multilevel growth models assessed the effects of sex, duration of diabetes, deprivation, ethnicity, insulin pump use, and health service use on HbA1c . Growth mixture models were used to identify discrete HbA1c trajectories across adolescence. RESULTS Mean clinic HbA1c decreased from 2008 to 2013 by 0.122% (95% confidence interval: 0.034, 0.210; P = .007) per year. The optimal multilevel growth model showed mean HbA1c increased with age (B = 0.414, P < .0001), and that mean HbA1c was predicted by white/British ethnicity (B = -0.748, P = .004), clinic visits (B = 0.041, P = .04), and pump use (B = -0.568, P < .0001) but not deprivation. The optimal mixture model was a four trajectory group solution, with 45.1% in Good Control, 39.6% with Deteriorating Control, 6.5% with Rapidly Deteriorating Control, and 8.8% in Poor Control across adolescence. Only pump use predicted trajectory group membership, being protective against membership of all other trajectories compared with Good Control. CONCLUSIONS Increasing uptake of insulin pumps and ensuring access to health services are likely to be the most effective means of reducing inequalities in outcomes of T1D in children and young people.
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Affiliation(s)
- Russell M Viner
- UCL Institute of Child Health, London, UK.,Child & Adolescent Diabetes Service, UCL Hospitals NHS Foundation Trust, London, UK
| | - Billy White
- Child & Adolescent Diabetes Service, UCL Hospitals NHS Foundation Trust, London, UK
| | - Rakesh Amin
- UCL Institute of Child Health, London, UK.,Child & Adolescent Diabetes Service, UCL Hospitals NHS Foundation Trust, London, UK
| | - Catherine Peters
- Child & Adolescent Diabetes Service, UCL Hospitals NHS Foundation Trust, London, UK
| | | | - Deborah Christie
- Child & Adolescent Diabetes Service, UCL Hospitals NHS Foundation Trust, London, UK
| | - Peter C Hindmarsh
- UCL Institute of Child Health, London, UK.,Child & Adolescent Diabetes Service, UCL Hospitals NHS Foundation Trust, London, UK
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25
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Khanolkar AR, Amin R, Taylor-Robinson D, Viner RM, Warner J, Gevers EF, Stephenson T. Ethnic differences in early glycemic control in childhood-onset type 1 diabetes. BMJ Open Diabetes Res Care 2017; 5:e000423. [PMID: 28878940 PMCID: PMC5574434 DOI: 10.1136/bmjdrc-2017-000423] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2017] [Revised: 05/31/2017] [Accepted: 06/28/2017] [Indexed: 11/10/2022] Open
Abstract
UNLABELLED Some ethnic minorities with type 1 diabetes (T1D) have worse glycemic control (higher glycated hemoglobin (HbA1c)) and increased risk for vascular complications. There is limited evidence on the impact of ethnicity on early glycemic control when most patients experience transient remission postdiagnosis. We examined associations between ethnicity and longitudinal HbA1c trajectories during the first 6 months postdiagnosis in a multiethnic cohort in East London. RESEARCH DESIGN AND METHODS Data on 443 (50% female) children <19 years of age, with T1D and attending one of three clinics in East London between January 2005 and December 2015 were included. Linear mixed-effects modeling was used to assess ethnic differences in longitudinal HbA1c trajectories during the first 6 months postdiagnosis (1,028 HbA1c data points), adjusting for sex, age at diagnosis, socioeconomic status and pH at diagnosis. Growth curve modeling was used to plot discrete HbA1c trajectories by ethnicity. RESULTS Longitudinal modeling revealed that all ethnic minorities had higher mean HbA1c at diagnosis compared with White children and highest in Bangladeshi (9.7 mmol/mol, 95% CI 5.1 to 14.3), Asian-Other (5.8 mmol/mol, 95% CI 2.2 to 9.3) and Somali (5.2 mmol/mol, 95% CI 0.1 to 10.2) children, and these differences persisted over the 6-month period after diagnosis. During the first month, HbA1c decreased on average by 19.6 mmol/mol (95% CI -21 to -18) for all children. Population averaged HbA1c decreased between diagnosis and 4 months, followed by a gradual increase in HbA1c levels (mean difference of -30 mmol/mol between diagnosis and 6 months). CONCLUSIONS Ethnic minorities present with higher HbA1c at diagnosis, with the largest mean differences observed in Bangladeshi, Asian-Other and Somali children. These higher levels (indicating poorer glycemic control) track into the first 6 months postdiagnosis.
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Affiliation(s)
- Amal R Khanolkar
- GOS Institute of Child Health, University College London, London, UK
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Rakesh Amin
- GOS Institute of Child Health, University College London, London, UK
| | | | - Russell M Viner
- GOS Institute of Child Health, University College London, London, UK
| | - Justin Warner
- Department of Child Health, Children's Hospital for Wales, Cardiff, UK
| | - Evelien F Gevers
- Centre for Endocrinology, Queen Mary University, London, UK
- Department of Paediatric Endocrinology, Barts Health NHS Trust, Royal London Children's Hospital, London, UK
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26
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Rohrer TR, Horikawa R, Kappelgaard AM. Growth hormone delivery devices: current features and potential for enhanced treatment adherence. Expert Opin Drug Deliv 2016; 14:1253-1264. [DOI: 10.1080/17425247.2017.1243526] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Affiliation(s)
- Tilman R. Rohrer
- Department of Pediatrics and Adolescent Medicine, Saarland University Medical Center, Homburg/Saar, Germany
| | - Reiko Horikawa
- Division of Endocrinology and Metabolism, National Center for Child Health and Development, Tokyo, Japan
| | - Anne-Marie Kappelgaard
- Clinical, Medical and Regulatory, Novo Nordisk International Operations A/G, Zurich, Switzerland
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27
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Khanolkar AR, Amin R, Taylor-Robinson D, Viner RM, Warner JT, Stephenson T. Young people with Type 1 diabetes of non-white ethnicity and lower socio-economic status have poorer glycaemic control in England and Wales. Diabet Med 2016; 33:1508-1515. [PMID: 26802317 DOI: 10.1111/dme.13079] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/19/2016] [Indexed: 12/12/2022]
Abstract
BACKGROUND The impact of ethnicity and socio-economic status (SES) on glycaemic control during childhood Type 1 diabetes is poorly understood in England and Wales. METHODS We studied 18 478 children with Type 1 diabetes (< 19 years) attending diabetes clinics and included in the 2012-2013 National Paediatric Diabetes Audit. Self-identified ethnicity was categorized as white, Asian, black, mixed, other and 'not-stated' (did not to divulge ethnicity). A small area measure of SES was estimated from the Index of Multiple Deprivation. Multiple linear regression was used to assess associations between ethnicity, SES and glycaemic control (mean HbA1c levels) accounting for age, gender and diabetes duration. The impact of insulin pump use on the ethnicity/SES-HbA1c associations was tested in 13 962 children. RESULTS All children from minority ethnic groups had higher mean HbA1c compared with white children, with largest differences observed in black and mixed ethnicities [8 mmol/mol (2.9%), 95% CI 5-11 and 7 mmol/mol (2.8%), 95% CI 5-9, respectively]. Lower SES was associated with higher mean HbA1c with a dose effect. The lowest SES group had a mean HbA1c that was 7 mmol/mol (2.8%) (95% CI 6-8) higher compared with the highest SES group, adjusted for ethnicity. Estimates for ethnicity were attenuated, but significant on adjustment for SES. Fewer non-white (white 20.3 vs. black 5.5%) and deprived (least deprived 21.1 vs. most deprived 13.2%) children were on insulin pump therapy. Ethnicity and SES remained significant predictors of HbA1c after accounting for insulin pump use. CONCLUSION The association between ethnicity and glycaemic control persists after adjustment for deprivation and pump use. An alternative approach to intensive insulin therapy might benefit these vulnerable children.
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Affiliation(s)
- A R Khanolkar
- Institute of Child Health, University College London (UCL), London, UK.
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
| | - R Amin
- Institute of Child Health, University College London (UCL), London, UK
| | - D Taylor-Robinson
- Institute of Child Health, University College London (UCL), London, UK
- Institute of Psychology, Health and Society, University of Liverpool, Liverpool, UK
| | - R M Viner
- Institute of Child Health, University College London (UCL), London, UK
| | - J T Warner
- Department of Child Health, University Hospital of Wales, Cardiff, UK
| | - T Stephenson
- Institute of Child Health, University College London (UCL), London, UK
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28
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Moore WV, Nguyen HJ, Kletter GB, Miller BS, Rogers D, Ng D, Moore JA, Humphriss E, Cleland JL, Bright GM. A Randomized Safety and Efficacy Study of Somavaratan (VRS-317), a Long-Acting rhGH, in Pediatric Growth Hormone Deficiency. J Clin Endocrinol Metab 2016; 101:1091-7. [PMID: 26672637 PMCID: PMC4803167 DOI: 10.1210/jc.2015-3279] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
CONTEXT Somavaratan (VRS-317) is a long-acting form of recombinant human GH under development for children and adults with GH deficiency (GHD). OBJECTIVES To determine the optimal somavaratan dose regimen to normalize IGF-1 in pediatric GHD and to evaluate safety and efficacy of somavaratan over 6 months. DESIGN Open-label, multicenter, single ascending dose study followed by 6-month randomized comparison of 3 dosing regimens. SETTING Twenty-five United States pediatric endocrinology centers. PATIENTS Naive-to-treatment, prepubertal children with GHD (n = 68). INTERVENTION(S) Patients received single sc doses of somavaratan (0.8, 1.2, 1.8, 2.7, 4.0, or 6.0 mg/kg) during the 30-day dose-finding phase, then were randomized to somavaratan 1.15 mg/kg weekly, 2.5 mg/kg twice monthly, or 5.0 mg/kg monthly for 6 months. MAIN OUTCOME MEASURES Safety, pharmacokinetics, pharmacodynamics, 6-month height velocity (HV). RESULTS Somavaratan pharmacokinetics was linearly proportional to dose; dose-dependent increases in the magnitude and duration of IGF-1 responses enabled weekly, twice-monthly or monthly dosing. A single dose of somavaratan sustained IGF-1 responses for up to 1 month. No somavaratan or IGF-1 accumulation occurred with repeat dosing. Mean annualized HVs for somavaratan administered monthly, twice monthly, or weekly (7.86 ± 2.5, 8.61 ± 2.7, and 7.58 ± 2.5 cm/y, respectively) were similar between groups. Adverse events were mostly mild and transient. CONCLUSIONS Somavaratan demonstrated clinically meaningful improvements in HV and IGF-1 in prepubertal children with GHD, with no significant differences between monthly, twice-monthly, or weekly dosing.
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Affiliation(s)
- Wayne V Moore
- Department of Endocrinology and Diabetes (W.V.M.), University of Missouri-Kansas City School of Medicine, Kansas City, Missouri 64111; Sierra Medical Research (H.J.N.), Clovis, California 93612; Mary Bridge Children's Hospital (G.B.K.), Tacoma, Washington 98405; Department of Pediatrics (B.S.M.), University of Minnesota Masonic Children's Hospital, Minneapolis, Minnesota 55454; Center for Pediatric Endocrinology (D.R.), Cleveland Clinic, Cleveland, Ohio 44195; ResearchPoint Global, Inc (D.N.), Austin, Texas 78735; Pacific BioDevelopment (J.A.M.), Emeryville, California 94608; and Versartis, Inc (E.H., J.L.C., G.M.B.), Menlo Park, California 94025
| | - Huong Jil Nguyen
- Department of Endocrinology and Diabetes (W.V.M.), University of Missouri-Kansas City School of Medicine, Kansas City, Missouri 64111; Sierra Medical Research (H.J.N.), Clovis, California 93612; Mary Bridge Children's Hospital (G.B.K.), Tacoma, Washington 98405; Department of Pediatrics (B.S.M.), University of Minnesota Masonic Children's Hospital, Minneapolis, Minnesota 55454; Center for Pediatric Endocrinology (D.R.), Cleveland Clinic, Cleveland, Ohio 44195; ResearchPoint Global, Inc (D.N.), Austin, Texas 78735; Pacific BioDevelopment (J.A.M.), Emeryville, California 94608; and Versartis, Inc (E.H., J.L.C., G.M.B.), Menlo Park, California 94025
| | - Gad B Kletter
- Department of Endocrinology and Diabetes (W.V.M.), University of Missouri-Kansas City School of Medicine, Kansas City, Missouri 64111; Sierra Medical Research (H.J.N.), Clovis, California 93612; Mary Bridge Children's Hospital (G.B.K.), Tacoma, Washington 98405; Department of Pediatrics (B.S.M.), University of Minnesota Masonic Children's Hospital, Minneapolis, Minnesota 55454; Center for Pediatric Endocrinology (D.R.), Cleveland Clinic, Cleveland, Ohio 44195; ResearchPoint Global, Inc (D.N.), Austin, Texas 78735; Pacific BioDevelopment (J.A.M.), Emeryville, California 94608; and Versartis, Inc (E.H., J.L.C., G.M.B.), Menlo Park, California 94025
| | - Bradley S Miller
- Department of Endocrinology and Diabetes (W.V.M.), University of Missouri-Kansas City School of Medicine, Kansas City, Missouri 64111; Sierra Medical Research (H.J.N.), Clovis, California 93612; Mary Bridge Children's Hospital (G.B.K.), Tacoma, Washington 98405; Department of Pediatrics (B.S.M.), University of Minnesota Masonic Children's Hospital, Minneapolis, Minnesota 55454; Center for Pediatric Endocrinology (D.R.), Cleveland Clinic, Cleveland, Ohio 44195; ResearchPoint Global, Inc (D.N.), Austin, Texas 78735; Pacific BioDevelopment (J.A.M.), Emeryville, California 94608; and Versartis, Inc (E.H., J.L.C., G.M.B.), Menlo Park, California 94025
| | - Douglas Rogers
- Department of Endocrinology and Diabetes (W.V.M.), University of Missouri-Kansas City School of Medicine, Kansas City, Missouri 64111; Sierra Medical Research (H.J.N.), Clovis, California 93612; Mary Bridge Children's Hospital (G.B.K.), Tacoma, Washington 98405; Department of Pediatrics (B.S.M.), University of Minnesota Masonic Children's Hospital, Minneapolis, Minnesota 55454; Center for Pediatric Endocrinology (D.R.), Cleveland Clinic, Cleveland, Ohio 44195; ResearchPoint Global, Inc (D.N.), Austin, Texas 78735; Pacific BioDevelopment (J.A.M.), Emeryville, California 94608; and Versartis, Inc (E.H., J.L.C., G.M.B.), Menlo Park, California 94025
| | - David Ng
- Department of Endocrinology and Diabetes (W.V.M.), University of Missouri-Kansas City School of Medicine, Kansas City, Missouri 64111; Sierra Medical Research (H.J.N.), Clovis, California 93612; Mary Bridge Children's Hospital (G.B.K.), Tacoma, Washington 98405; Department of Pediatrics (B.S.M.), University of Minnesota Masonic Children's Hospital, Minneapolis, Minnesota 55454; Center for Pediatric Endocrinology (D.R.), Cleveland Clinic, Cleveland, Ohio 44195; ResearchPoint Global, Inc (D.N.), Austin, Texas 78735; Pacific BioDevelopment (J.A.M.), Emeryville, California 94608; and Versartis, Inc (E.H., J.L.C., G.M.B.), Menlo Park, California 94025
| | - Jerome A Moore
- Department of Endocrinology and Diabetes (W.V.M.), University of Missouri-Kansas City School of Medicine, Kansas City, Missouri 64111; Sierra Medical Research (H.J.N.), Clovis, California 93612; Mary Bridge Children's Hospital (G.B.K.), Tacoma, Washington 98405; Department of Pediatrics (B.S.M.), University of Minnesota Masonic Children's Hospital, Minneapolis, Minnesota 55454; Center for Pediatric Endocrinology (D.R.), Cleveland Clinic, Cleveland, Ohio 44195; ResearchPoint Global, Inc (D.N.), Austin, Texas 78735; Pacific BioDevelopment (J.A.M.), Emeryville, California 94608; and Versartis, Inc (E.H., J.L.C., G.M.B.), Menlo Park, California 94025
| | - Eric Humphriss
- Department of Endocrinology and Diabetes (W.V.M.), University of Missouri-Kansas City School of Medicine, Kansas City, Missouri 64111; Sierra Medical Research (H.J.N.), Clovis, California 93612; Mary Bridge Children's Hospital (G.B.K.), Tacoma, Washington 98405; Department of Pediatrics (B.S.M.), University of Minnesota Masonic Children's Hospital, Minneapolis, Minnesota 55454; Center for Pediatric Endocrinology (D.R.), Cleveland Clinic, Cleveland, Ohio 44195; ResearchPoint Global, Inc (D.N.), Austin, Texas 78735; Pacific BioDevelopment (J.A.M.), Emeryville, California 94608; and Versartis, Inc (E.H., J.L.C., G.M.B.), Menlo Park, California 94025
| | - Jeffrey L Cleland
- Department of Endocrinology and Diabetes (W.V.M.), University of Missouri-Kansas City School of Medicine, Kansas City, Missouri 64111; Sierra Medical Research (H.J.N.), Clovis, California 93612; Mary Bridge Children's Hospital (G.B.K.), Tacoma, Washington 98405; Department of Pediatrics (B.S.M.), University of Minnesota Masonic Children's Hospital, Minneapolis, Minnesota 55454; Center for Pediatric Endocrinology (D.R.), Cleveland Clinic, Cleveland, Ohio 44195; ResearchPoint Global, Inc (D.N.), Austin, Texas 78735; Pacific BioDevelopment (J.A.M.), Emeryville, California 94608; and Versartis, Inc (E.H., J.L.C., G.M.B.), Menlo Park, California 94025
| | - George M Bright
- Department of Endocrinology and Diabetes (W.V.M.), University of Missouri-Kansas City School of Medicine, Kansas City, Missouri 64111; Sierra Medical Research (H.J.N.), Clovis, California 93612; Mary Bridge Children's Hospital (G.B.K.), Tacoma, Washington 98405; Department of Pediatrics (B.S.M.), University of Minnesota Masonic Children's Hospital, Minneapolis, Minnesota 55454; Center for Pediatric Endocrinology (D.R.), Cleveland Clinic, Cleveland, Ohio 44195; ResearchPoint Global, Inc (D.N.), Austin, Texas 78735; Pacific BioDevelopment (J.A.M.), Emeryville, California 94608; and Versartis, Inc (E.H., J.L.C., G.M.B.), Menlo Park, California 94025
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Walker AF, Johnson C, Schatz DA, Silverstein JH, Lyles S, Rohrs HJ. Using photography as a method to explore adolescent challenges and resilience in type 1 diabetes. Diabetes Spectr 2015; 28:92-8. [PMID: 25987807 PMCID: PMC4433084 DOI: 10.2337/diaspect.28.2.92] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Patient-centered approaches to disease management are consistently recognized as valuable tools for improving health outcomes, yet studies are rarely designed to elicit adolescent perspectives. This study sought to better understand the perspectives of youths with type 1 diabetes according to key demographic variables. We conducted an exploratory study through which 40 youths were provided with disposable cameras and prompted to take five photographs each that captured what diabetes meant to them and to provide narratives to accompany their photo choices. Demographic variables examined included sex, age, disease duration, socioeconomic status (SES), race, and glycemic control (A1C). Content analysis was used for photos and open-ended responses to assign photo index scores, which were then analyzed by demographic variables using Mann-Whitney U tests for statistical significance. Analysis of photos/narratives (n = 202) revealed five main types of representations depicted by at least 50% of the young people. "Challenge" photos included diabetes supplies as tethering, food as a source of frustration, and the body as a territory for disease encroachment. "Resilience" photos included coping mechanisms and symbols of resistance. Overall, these representations were consistent across demographic categories with two exceptions. Males took more food depictions than females (P <0.005) and had fewer coping depictions (P <0.05). Youths from more affluent households were more likely to take photos of resistance (P <0.05). The use of photo index scores expands previous studies using photography by comparing demographic variation within a sample. Our findings provide insight into coping strategies and indicate that SES may provide an advantage for affluent youths in meeting diabetes-specific challenges.
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Affiliation(s)
- Ashby F. Walker
- Department of Health Outcomes and Policy and Institute for Child Health Policy, University of Florida College of Medicine, Gainesville, FL
| | - Cathryn Johnson
- Department of Sociology and Laney Graduate School at Emory University, Atlanta, GA
| | - Desmond A. Schatz
- Department of Pediatrics, University of Florida College of Medicine, Gainesville, FL
| | - Janet H. Silverstein
- Department of Pediatrics, University of Florida College of Medicine, Gainesville, FL
| | - Shannon Lyles
- Department of Pediatrics, University of Florida College of Medicine, Gainesville, FL
| | - Henry J. Rohrs
- Department of Pediatrics, University of Florida College of Medicine, Gainesville, FL
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Walker AF, Schatz DA, Johnson C, Silverstein JH, Rohrs HJ. Disparities in social support systems for youths with type 1 diabetes. Clin Diabetes 2015; 33:62-9. [PMID: 25897185 PMCID: PMC4398009 DOI: 10.2337/diaclin.33.2.62] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
IN BRIEF Low socioeconomic status (SES) is consistently identified as a major risk factor for poor health outcomes in youths with type 1 diabetes, yet little is known about the social factors that yield such disparities. This study used survey research to examine the role of SES by focusing on differential resourcing in social support systems for youths with type 1 diabetes and their parents/caregivers. We identified significant inequalities in social support systems and found that parents from lower-income households engage in few coping activities and rarely identify a primary care provider as the main point of contact when facing a diabetes-related problem. Our findings underscore the need to better connect low SES families to diabetes-specific professional resourcing and to raise awareness about the importance of extracurricular activities as a form of social support for youths.
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Affiliation(s)
- Ashby F. Walker
- Department of Health Outcomes and Policy and the Institute for Child Health Policy, University of Florida, Gainesville, FL
- Department of Pediatrics, University of Florida, Gainesville, FL
| | | | | | | | - Henry J. Rohrs
- Department of Pediatrics, University of Florida, Gainesville, FL
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31
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Lawes T, Franklin V, Farmer G. HbA1c tracking and bio-psychosocial determinants of glycaemic control in children and adolescents with type 1 diabetes: retrospective cohort study and multilevel analysis. Pediatr Diabetes 2014; 15:372-83. [PMID: 24279611 DOI: 10.1111/pedi.12100] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/14/2013] [Revised: 09/26/2013] [Accepted: 10/23/2013] [Indexed: 11/29/2022] Open
Abstract
OBJECTIVES To explore the association between HbA1c 6 months after diagnosis (6 m-HbA1c) and long-term glycaemic control in children with type 1 diabetes, accounting for other bio-psychosocial determinants. METHODS This retrospective cohort study, included 155 children (≤16 yr) from the North of Scotland, diagnosed between January 1993 and August 2011, and receiving care between November 2008 and August 2012. Multilevel analysis explored the relationships between 6 m-HbA1c, other persistent or dynamic variables, and HbA1c. Patterns of glycaemic control were identified by cluster-analysis. RESULTS 6 m-HbA1c was positively associated with diabetic ketoacidosis at diagnosis, shorter duration of partial-remission, female gender, and psychosocial adversity. In multilevel analysis the effects of 6 m-HbA1c on subsequent HbA1c trajectories remained significant after adjusting for patient- and observation-level predictors. An increase in 6 m-HbA1c of 10 mmol/mol (0.9%) was associated with an average increase in HbA1c levels of 5.3 (95% CI: 4.5-6.2) mmol/mol, or 0.48% (0.41 to 0.57%; p < 0.001) over the follow-up period. Coefficients for linear and quadratic growth identified sustained effects of 6 m-HbA1c on glycaemic control (p < 0.001). Higher average levels or accelerated increases in HbA1c were associated with age at diagnosis, falling BMI (in girls > boys), mental health diagnosis, major adverse life-events, single-parenting, child welfare concerns, neighbourhood deprivation, and clinic non-attendance. Cluster-analysis identified groups with poor or deteriorating control, characterized by older age at diagnosis, multiple psychosocial adversities, and maladaptive healthcare use. CONCLUSION Early HbA1c predicted future glycaemic control across childhood. Trajectories were further modified by biological factors, exposures to psychosocial adversity, and healthcare use.
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Affiliation(s)
- Timothy Lawes
- Department of Paediatrics, Raigmore Hospital, Inverness, IV2, 3UJ, UK
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32
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Purea T, McCready F, Dunn P, Cundy T. Late-onset type 1 diabetes in Pāsifika migrants living in Auckland. Intern Med J 2014; 44:104-5. [PMID: 24450528 DOI: 10.1111/imj.12326] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2013] [Accepted: 08/21/2013] [Indexed: 11/27/2022]
Affiliation(s)
- T Purea
- Auckland Diabetes Centre, Greenlane Clinical Centre, Auckland, New Zealand
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Deladoëy J, Henderson M, Geoffroy L. Linear association between household income and metabolic control in children with insulin-dependent diabetes mellitus despite free access to health care. J Clin Endocrinol Metab 2013; 98:E882-5. [PMID: 23539732 DOI: 10.1210/jc.2013-1212] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
BACKGROUND In health care systems with a user fee, the impact of socioeconomic factors on pediatric insulin-dependent diabetes mellitus (IDDM) control could be due to the cost of accessing care. HYPOTHESIS There is a linear association between household income and the average glycosylated hemoglobin (HbA1c) of children and adolescents with IDDM despite free access to health care. METHODS We used a linear regression model to examine the association between normalized average HbA1c of 1766 diabetic children (diagnosed at our institution from 1980 to 2011 before 17 years of age) and the median household income of their neighborhoods (obtained from Statistics Canada, 2006 Census data). RESULTS We found a negative linear association (P < .001; r = -0.2) between the level of income and metabolic control assessed by HbA1c after controlling for sex, age at diagnosis, duration of diabetes, ethnicity, geographical factors, frequency of visits, current age (as a proxy for change in practice over time), and change of measurement methods of HbA1c across time. For every increase of $15,000 in annual income, HbA1c decreased by 0.1%. CONCLUSION We report a linear association of household income with metabolic control of IDDM in childhood. Given that Canada has a system of free universal access to health care, confounding by access to care is unlikely. Considering the impact of poorly controlled IDDM in childhood on the development of long-term complications, our findings suggest that the higher complication rate found in adults of low socioeconomic status might originate from the poor control that they experienced in childhood. Support for the care of IDDM children from low-income neighborhoods should be increased.
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Affiliation(s)
- Johnny Deladoëy
- Endocrinology and Diabetes Service, Centre Hospitalier Universitaire Sainte-Justine, Department of Pediatrics, University of Montréal, Montréal, Canada H3T 1C5.
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Zuijdwijk CS, Cuerden M, Mahmud FH. Social determinants of health on glycemic control in pediatric type 1 diabetes. J Pediatr 2013; 162:730-5. [PMID: 23360562 DOI: 10.1016/j.jpeds.2012.12.010] [Citation(s) in RCA: 80] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2012] [Revised: 10/29/2012] [Accepted: 12/04/2012] [Indexed: 10/27/2022]
Abstract
OBJECTIVE To evaluate the relationship between the social determinants of health (SDH) and glycemic control in a large pediatric type 1 diabetes (T1D) population. STUDY DESIGN Deprivation Indices (DI) were used to ascertain population-level measures of socioeconomic status, family structure, and ethnicity in patients with T1D followed at The Hospital for Sick Children August 2010-2011 (n = 854). DI quintile scores were determined for individual patients based on de-identified postal codes, and linked to mean patient A1Cs as a measure of glycemic control. We compared mean A1C between the most and least deprived DI quintiles. Associations were estimated controlling for age and sex, and repeated for insulin pump use. RESULTS The T1D population evaluated in this study was most concentrated in the least and most deprived quintiles of the Material DI. A1C levels were highest in patients with the greatest degree of deprivation (fifth vs first quintile) on the Material DI (9.2% vs 8.3%, P < .0001), Social DI (9.1% vs 8.3%, P < .0001), and Ethnic Concentration Index (8.9% vs 8.4%, P = .03). These relationships between measures of the SDH and A1C were not evident for patients on insulin pumps. On regression analysis, higher A1C was predicted by older age, female sex, not using pump therapy, and being in the most deprived quintile for Material and Social Deprivation, but not Ethnic Concentration. CONCLUSIONS Measures of the SDH comprising Material and Social Deprivation were significantly associated with suboptimal glycemic control in our pediatric T1D cohort. Use of insulin pump therapy also predicted A1C and may have a moderating effect on these relationships.
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Affiliation(s)
- Caroline S Zuijdwijk
- Division of Endocrinology, The Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada.
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